A Step Toward Identifying Sources of Medical Errors: Modeling Standards of Care Deviations for Different Disease States.

Objective: To examine the feasibility of utilizing electronic health records (EHR) to determine a metric for identifying physician diagnostic and treatment deviations in standards of care for different disease states.Methods: A Boolean-rule-based model compared deviations in standards of care across...

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Publicado en:Military Medicine Vol. 183; pp. 105 - 111
Autores principales: Fidopiastis, Cali M, Venta, Kim E, Baker, Erin G, Stanney, Kay M
Formato: research tables/charts Journal Article
Publicado: Oxford University Press / USA 2018 Supplement
Acceso en línea:Ver este registro en EBSCOhost
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        atl: A Step Toward Identifying Sources of Medical Errors: Modeling Standards of Care Deviations for Different Disease States.
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          Fidopiastis, Cali M
          Venta, Kim E
          Baker, Erin G
          Stanney, Kay M
        affil: Design Interactive, Inc., 3504 Lake Lynda Dr., Suite 400, Orlando, FL 32817
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        subj:
          Quality of Health Care Trends
          Guideline Adherence Standards
          Treatment Errors
          Physicians Statistics and Numerical Data
          Human
          Physicians Standards
          Middle Age
          Adult
          Retrospective Design
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          Computer Simulation Standards
          Computer Simulation Statistics and Numerical Data
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          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
          Middle Aged: 45-64 years
          Adult: 19-44 years
          Female
          Male
      ab: Objective: To examine the feasibility of utilizing electronic health records (EHR) to determine a metric for identifying physician diagnostic and treatment deviations in standards of care for different disease states.Methods: A Boolean-rule-based model compared deviations in standards of care across four disease states: diabetes, cardiovascular disease, asthma, and rheumatoid arthritis. This metric was used to identify the relationship between physician deviations in standards of care procedures, before and after diagnosis, for 76 internal medicine physicians.Results: The Boolean-rule-based model identified patterns of standards of care deviation for the physicians before diagnosis and during treatment. The deviations identified for each of the four disease states were then related to Continuing Medical Education courses that could support further training. The rule-based model was extended and improved by including system and process aspects of medical care that are not specifically related to the physician, yet potentially have an impact on the physician's decision to deviate from the standards of care.Conclusion: The Boolean-rule-based approach provided a means to systematically mine EHRs and use these data to assess deviations in standards of care that could identify quality of care issues stemming from system processes or the need for specific CME for a physician.
      pubtype: Academic Journal
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      ougenre: Article
    language: English
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